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Inhaltsangabe
In times of rapid change in the environment such as the one we live in, increasing knowledge of the interaction between organisms and their ecosystems is fundamental to generating information that can be translated into protection and conservation practices. Ecology is a crucial science for understanding the occurrence, distribution and evolution of living organisms, especially sessile plants. Advances in statistical modeling, especially regression techniques, have become an essential ally in the investigation of causal factors in the ecological patterns of species and their interactions. This progress has been widely promoted in the R software through the development of packages for various types of analysis. The content of this book focuses on various regression models in R applied to Plant Ecology, based on practical examples of analysis based on real data freely provided by the authors. Using simple, clear language, this book can also be used by people from various academic fields, but especially by postgraduate students and researchers in the fields of Ecology, Biodiversity, Forest Engineering and Agronomy.
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Über die Autorin bzw. den Autor
Écio Souza Diniz is a biologist with a master's degree in Forest Engineering and a PhD in Botany. His research focuses on the Ecology, Evolution and Functioning of Neotropical Forests. Jan Thiele has a degree in Landscape Ecology and a PhD in Natural Sciences. His research focuses on Biostatistics, Biogeography, Ecology and Evolution and Remote Sensing.
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Regression Modeling in R
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Regression Modeling in R
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ISBN 10: 6207239725
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In times of rapid change in the environment such as the one we live in, increasing knowledge of the interaction between organisms and their ecosystems is fundamental to generating information that can be translated into protection and conservation practices. Ecology is a crucial science for understanding the occurrence, distribution and evolution of living organisms, especially sessile plants. Advances in statistical modeling, especially regression techniques, have become an essential ally in the investigation of causal factors in the ecological patterns of species and their interactions. This progress has been widely promoted in the R software through the development of packages for various types of analysis. The content of this book focuses on various regression models in R applied to Plant Ecology, based on practical examples of analysis based on real data freely provided by the authors. Using simple, clear language, this book can also be used by people from various academic fields, but especially by postgraduate students and researchers in the fields of Ecology, Biodiversity, Forest Engineering and Agronomy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Bestandsnummer des Verkäufers 9786207239726
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Regression Modeling in R : Applications in vegetation analysis
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In times of rapid change in the environment such as the one we live in, increasing knowledge of the interaction between organisms and their ecosystems is fundamental to generating information that can be translated into protection and conservation practices. Ecology is a crucial science for understanding the occurrence, distribution and evolution of living organisms, especially sessile plants. Advances in statistical modeling, especially regression techniques, have become an essential ally in the investigation of causal factors in the ecological patterns of species and their interactions. This progress has been widely promoted in the R software through the development of packages for various types of analysis. The content of this book focuses on various regression models in R applied to Plant Ecology, based on practical examples of analysis based on real data freely provided by the authors. Using simple, clear language, this book can also be used by people from various academic fields, but especially by postgraduate students and researchers in the fields of Ecology, Biodiversity, Forest Engineering and Agronomy. Bestandsnummer des Verkäufers 9786207239726
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Taschenbuch. Zustand: Neu. Regression Modeling in R | Applications in vegetation analysis | Écio Souza Diniz (u. a.) | Taschenbuch | Englisch | 2024 | Our Knowledge Publishing | EAN 9786207239726 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 128707459
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